• Design, develop, and maintain low-level firmware in C (and supporting tools/scripts in Python) for embedded platforms • Implement and debug bootloader functionality (e.g., system initialization, handoff, update flows) and support board bring-up • Design, develop, test, debug, and maintain software integrated into embedded devices and systems, ensuring compliance with industry, customer, safety, and regulatory standards. • Implement and support software security features including encryption /decryption, key handling concepts, and secure communication/storage • Apply knowledge of computer architecture (ARM cores, privilege levels, interrupts/exceptions, MMU, caches) to optimize reliability and performance • Perform low-level debugging using JTAG/trace tools, logs, and hardware instrumentation; analyze root cause and implement robust fixes • Use GitLab for source control, merge requests, code reviews, and CI workflows; follow development and documentation standards • Produce clear technical artifacts (design notes, interface descriptions, unit tests, verification evidence) aligned with program processes

• Define and own the enterprise laboratory informatics strategy spanning sample accessioning, order management, sample tracking, and workflow orchestration across wet labs, dry labs, and downstream data consumers. • Lead the modernization of a predominantly homegrown informatics landscape, including architectural redesign, platform consolidation, and technology standardization. • Drive strategic build-vs-buy decisions, including vendor evaluation, platform selection, and long-term ownership models. • Establish and execute a multi-year roadmap that supports enterprise growth, new product introductions, and evolving regulatory expectations. • Ensure informatics platforms reliably support high-throughput, mission-critical laboratory operations across Oncology, Women’s Health, and Organ Health portfolios. • Partner closely with laboratory operations, product, R&D, quality, and regulatory teams to optimize workflows, increase automation, and reduce operational friction. • Enable rapid onboarding of new assays and laboratory workflows while maintaining system stability, data integrity, and compliance. • Define and track KPIs related to system performance, availability, throughput, and operational efficiency. • Lead, mentor, and scale a high-performing organization of approximately 200 professionals across laboratory applications engineering, workflow platforms, data systems, validation, and operations support. • Build strong leadership bench strength and succession plans across a geographically distributed organization. • Foster a culture of technical excellence, accountability, customer focus, and continuous improvement. • Evolve organizational structures and operating models toward enterprise platforms rather than siloed, business-unit–specific systems. • Ensure informatics platforms meet regulatory and quality requirements, including CLIA, CAP, HIPAA, FDA-regulated diagnostics (including LDTs), and applicable GxP standards. • Establish policies and controls to ensure data integrity, traceability, security, and privacy across the laboratory informatics ecosystem. • Communicate platform strategy, risks, and tradeoffs clearly to executive leadership and other stakeholders. • Maintain strong relationships with laboratory users through regular engagement, including onsite interaction in San Carlos, CA and Austin, TX as needed.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Remote AI Backend / Full-Stack Engineer with strong Python and modern web development experience to help build and scale an AI-powered travel planning platform. - Develop and maintain backend services using Python and FastAPI - Build and optimize APIs that power AI-driven travel planning features - Collaborate with engineers through high-quality GitHub pull requests and code reviews - Contribute to sprint planning and agile development cycles - Work on frontend components using React - Integrate backend systems with MongoDB databases and AWS infrastructure - Ensure code follows clean architecture principles and coding standards - Improve system performance, reliability, and scalability - Collaborate with AI and product teams to implement new platform capabilities Qualifications - Strong English communication skills - Strong experience with Python backend development - Experience building APIs using FastAPI or similar frameworks - Familiarity with React for frontend development - Experience working with MongoDB - Experience using GitHub for version control, pull requests, and collaborative development - Understanding of cloud infrastructure (AWS or similar platforms) - Ability to contribute effectively to sprint planning and agile workflows Requirements - Experience working with AI-assisted development tools (e.g., Claude Code) - Strong understanding of software architecture and scalable system design - Ability to write high-quality, maintainable, and well-structured code - Experience working in fast-paced startup environments Benefits - 💻 Fully Remote: Work from anywhere with international teams - 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services - 🤝 Peer Community: Connect with high-performing sales professionals in our network - 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement - 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

• Create new managed compute primitives that feel first-class in Temporal Cloud: crisp abstractions, clean APIs, and an extension story across compute providers. • Design self-optimizing autoscaling systems (signals, backstops, debouncing, guardrails) that scale worker fleets safely and predictably. • Define the Open Source Server ↔ Cloud boundary for compute capabilities, keeping the architecture cohesive and maintainable. • Architect, build, and operate services on the hot path of task execution where performance and correctness are customer-visible. • Deliver real-world cloud integrations (e.g., customer-account execution): IAM boundaries, secure credentials handling, networking constraints, quotas, and failure modes. • Make operability a feature: SLOs, tracing/metrics, load and failure testing, incident reviews, and continuous hardening. • Ship end-to-end: API design, rollout strategy, backwards compatibility, and long-term maintenance. • Raise the bar through design docs, strong reviews, pragmatic technical leadership, and mentorship. • Lead through influence across teams (Server, SDKs, Security, Control Plane) to land coherent platform changes.